DeepSWE / langchain · Python

Add request coalescing to `Runnable`

Add `Runnable.with_coalesce()` so concurrent identical inputs share one execution across sync, async, streaming, and batch APIs.

Latest localFailed checks
gpt-6-astra · xhigh public4/4 runs passed
claude-opus-5 · max public4/4 runs passed

Run history

Flash-Next IQ3_SDeepSWE · follow-on · 2026-10-12

Agent time
30m 11s
Feature checks
48 / 50
Regression checks
232 / 232
Run settings & provenance
Run ID
tonight-20261012-followon/langchain-request-coalescing__9VF4pyY
Model
qwen3.8-flash-next-iq3_s
Reasoning effort
medium
Requested output allowance
196,608
Temperature
1.0
Top p
0.95
Top k
20
Min p
0.0
Presence penalty
0.0
Repetition penalty
1.0
Agent
OpenCode/Pier
Runtime
Strata 0.1.42
Agent timeout seconds
2,700
Timing, delivery & token accounting
Timing seconds · Agent execution (seconds)
1811.456386
Timing seconds · Environment setup (seconds)
39.283825
Timing seconds · Verifier
42.620816
Usage · Input tokens
8,541,308
Usage · Cached tokens
8,462,115
Usage · Output tokens
88,554
Usage · Peak context tokens
152,623
Usage · Steps
86
Usage · Requests
87
Patch · Bytes
65,957
Patch · SHA256
163719b575919e86421221e347110045eca5ba083ad4a75bcaf5bd512674e0f3
Verification · Status
official-scored
Verification · Verifier
DeepSWE v1.1 official verifier
Verification · Evidence
verified campaign state and official verifier result

Published comparisons

Published comparison sources

Published successful attempts using mini-swe-agent on the same task, not matched local runs.

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Published attempt details
  1. run attempt
    None
    outcome
    pass
    passed
    True
  2. run attempt
    None
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  4. run attempt
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Official assignment

Open official task source ↗

Recorded assignment context

Add `Runnable.with_coalesce()` so concurrent identical inputs share one execution across sync, async, streaming, and batch APIs.